资源列表
HAND
- 实现手势识别，在Windows和Linux下均可，利用了opencv-Implement gesture recognition, under Windows and Linux can use the opencv
CNN
- 卷积神经网络代码，Java版。改自Deep Learning Toolbox的matlab代码。-CNN code with Java. From github deep learning toolbox
face-recongnise
- 这是对图片识别的一种算法程序，可以对图片进行识别并且对它进行编写，基于C-This is a picture identification of the source, based in C++
work
- 霍夫圆变换找圆并标记所有圆霍夫圆变换已写成库-find round using Hough circle transform
1221sparsematrixshowaimage
- 构造稀疏矩阵，并将稀疏矩阵用图像形式表示出来-sparse matrix show as image
OCR_ImageReg
- C#读取通过上传的图形会验证码图片，进行分析识别，读取相应的文字-C# will be read by the graphics uploaded CAPTCHA image, and analyzed to identify, read the corresponding text
dipfinal
- 调用开源OCR引擎pytesser识别文本文件。-Call open source OCR engine pytesser recognize text files.
Kmeans
- Kmeans聚类算法，MATLAB语言，用于图像分割，可以将相似像素聚类，然后进行分割-Kmeans clustering algorithms, MATLAB language for image segmentation, can be similar pixel clusters, and then divided
echarts_a5
- 提供商业产品常用图表，底层基于ZRender（一个全新的轻量级canvas类库），创建了坐标系，图例，提示，工具箱等基础组件，并在此上构建出折线图、柱状图、散点图、K线图、饼图、雷达图、地图、和弦图、力导向布局图、仪表盘以及漏斗图，同时支持任意维度的堆积和多图表混合展现。-Provide commercial products commonly used graph, the underlying based on ZRender (a new lightweight canvas class)
haar-like-Face-detection
- 基于ababoost人脸检测，haar-like特征提取-Extracting ababoost face detection, haar-like features
digital-identification-system
- 这是一个数字识别系统，用Visual C++ 开发。过程：“256色位图转为灰度图”－“灰度图二值化”－“去噪”－“倾斜校正”－“分割”－“标准化尺寸”－“紧缩重排”。-This is a digital identification system, using C++ Visual development. Process: 256 color bitmap to grayscale - binarization - denoising - tilt correction - seg
指纹识别演示系统
- vc指纹识别演示系统，mfc界面，实现二值化，、分割增强、梯度场、细节点提取与特征匹配。源代码可以运行，还附有可执行程序。